The Italian validation of the Montreal Global definition and classification of gastroesophageal reflux disease

2009 ◽  
Vol 21 (4) ◽  
pp. 394-408 ◽  
Author(s):  
Fabio Pace ◽  
Franco Bazzoli ◽  
Roberto Fiocca ◽  
Francesco Di Mario ◽  
Vincenzo Savarino ◽  
...  
Keyword(s):  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Italian Validation

scholarly journals A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease

2021 ◽  
Vol 18 (5) ◽  
pp. 2428
Author(s):  
Chi-Chih Wang ◽  
Yu-Ching Chiu ◽  
Wei-Liang Chen ◽  
Tzu-Wei Yang ◽  
Ming-Chang Tsai ◽  
...  
Keyword(s):  
Deep Learning ◽  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Automatic Classification ◽  
Learning Model ◽  
Test Set ◽  
Proposed Model ◽  
Deep Learning Model

Gastroesophageal reflux disease (GERD) is a common disease with high prevalence, and its endoscopic severity can be evaluated using the Los Angeles classification (LA grade). This paper proposes a deep learning model (i.e., GERD-VGGNet) that employs convolutional neural networks for automatic classification and interpretation of routine GERD LA grade. The proposed model employs a data augmentation technique, a two-stage no-freezing fine-tuning policy, and an early stopping criterion. As a result, the proposed model exhibits high generalizability. A dataset of images from 464 patients was used for model training and validation. An additional 32 patients served as a test set to evaluate the accuracy of both the model and our trainees. Experimental results demonstrate that the best model for the development set exhibited an overall accuracy of 99.2% (grade A–B), 100% (grade C–D), and 100% (normal group) using narrow-band image (NBI) endoscopy. On the test set, the proposed model resulted in an accuracy of 87.9%, which was significantly higher than the results of the trainees (75.0% and 65.6%). The proposed GERD-VGGNet model can assist automatic classification of GERD in conventional and NBI environments and thereby increase the accuracy of interpretation of the results by inexperienced endoscopists.

The Montreal Definition and Classification of Gastroesophageal Reflux Disease: A Global Evidence-Based Consensus

2006 ◽  
Vol 101 (8) ◽  
pp. 1900-1920 ◽  
Author(s):  
Nimish Vakil ◽  
Sander V. van Zanten ◽  
Peter Kahrilas ◽  
John Dent ◽  
Roger Jones ◽  
...  
Keyword(s):  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Evidence Based ◽  
Global Evidence

Numerical modification of the Los Angeles classification of gastroesophageal reflux disease fails to decrease observer variation

2004 ◽  
Vol 16 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Motoyasu Kusano ◽  
Sayaka Sugimoto ◽  
Osamu Kawamura ◽  
Keiko Minashi ◽  
Masaki Maeda ◽  
...  
Keyword(s):  
Los Angeles ◽  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Observer Variation ◽  
Los Angeles Classification

Gastroesophageal Reflux Disease: A Gastroenterologist's Perspective

2011 ◽  
Vol 21 (3) ◽  
pp. 89-99
Author(s):  
Michael F. Vaezi
Keyword(s):  
Gastroesophageal Reflux Disease ◽  
Gastroesophageal Reflux ◽  
Reflux Disease ◽  
Best Practice ◽  
Clinical Care ◽  
Diagnostic Testing ◽  
Diagnostic Tools ◽  
Swallowing Function ◽  
Atypical Symptoms

Gastroesophageal reflux disease (GERD) is a commonly diagnosed condition often associated with the typical symptoms of heartburn and regurgitation, although it may present with atypical symptoms such as chest pain, hoarseness, chronic cough, and asthma. In most cases, the patient's reduced quality of life drives clinical care and diagnostic testing. Because of its widespread impact on voice and swallowing function as well as its social implications, it is important that speech-language pathologists (SLPs) understand the nature of GERD and its consequences. The purpose of this article is to summarize the nature of GERD and GERD-related complications such as GERD-related peptic stricture, Barrett's esophagus and adenocarcinoma, and laryngeal manifestations of GERD from a gastroenterologist's perspective. It is critical that SLPs who work with a multidisciplinary team understand terminology, diagnostic tools, and treatment to ensure best practice.

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